Headshot of Mi Zhou

Mi Zhou

Assistant Professor

Area: Accounting

  • Snead Hall
  • 301 W. Main Street
  • Box 844000
  • Richmond, VA, 23284-4000
  • Office: B3173

Expertise

  • Accounting Analytics
  • Financial Disclosures
  • Content Analysis

Interests

Teaching
  • Accounting Information Systems, Data Analytics
Research
  • Financial Accounting, Big Data Analytics, Corporate Disclosures, and Capital Markets
Bio

Mi(Jamie) Zhou is an Assistant Professor in the Department of Accounting at Virginia Commonwealth University. His research interests include Financial Accounting, Big Data Analytics, Corporate Disclosures, and Capital Markets. Dr. Zhou’s research has appeared in top accounting and information systems journals, including Contemporary Accounting Research, Journal of the American Taxation Association, Journal of Information Systems, Computers in Human Behavior, Information Systems Frontiers, and so on. Dr. Zhou received his doctoral degree in Accounting from Virginia Tech and master degrees in Accounting and Computer Science from UNC Charlotte. Dr. Zhou started his career with IBM and AmerisourceBergen Corporation as a software engineer. He also worked as a consultant/Senior Consultant at Deloitte for three years.

Awards and Honors

  • Outstanding Reviewer in the Emerald Literati Awards, Emerald Publishing Limited. (December 1, 2021).
  • Best Pitch Award in Markets & Investments, 2021 FMA European Conference. (June 25, 2021).
  • Semifinalist for Best Research Paper Award, Financial Management Association. (October, 2020).
  • Best Research Paper Award, AAA Southeast Region Midyear Meeting. (2016).
  • Best Research Paper Award, Business Analytics Congress. (2015).
  • Emerging Scholar Award, AAA Public Interest Section. (2015).

Research

Published Intellectual Contributions
Conference Proceeding
  • Qiao, Z., Zhang, X., Zhou, M., Wang, A., Fan, W. (2017). A domain oriented LDA model for mining product defects from online customer reviews. Proceedings of the 50th Hawaii International Conference on System Sciences.
  • Du, Q., Zhou, M., Zhang, X., , Fan, W., Wang, A. (2016). A Cross-Platform Comparison of Crowdfunding: An Exploratory Study. The 10th China Summer Workshop on Information Management (CSWIM).
  • Qiao, Z., Zhou, M., Fan, W. (2015). Do Customer Reviews Matter in Product Innovation? An Empirical Study of the Google Play Store. Business Analytics Congress.
  • Zhou, M., Qiao, Z., Zhang, X., Du, Q., Wang, A. G., Fan, W. P. (2015). Do Facebook Activities Increase Sales?. (vol. 21). 21st Americas Conference on Information Systems (AMCIS).
  • Zhou, M., Du, Q., Fan, W., Qiao, Z., Wang, G., Zhang, X. (2015). Money talks: A predictive model on crowdfunding success using project description. 21st Americas Conference on Information Systems (AMCIS).
Journal Article
  • Guo, F., Lisic, L., Pittman, J., Seidel, T., Zhou, M., Zhou, Y. (2022). Fool Me Once, Shame on You; Fool Me Twice, Shame on Me: The Long-Term Impact of Arthur Andersen’s Demise on Partners’ Audit Quality. Contemporary Accounting Research.
  • Qiao, Z., Rivera, J. C., Zhou, M. (2021). Towards A Framework For Assessing Cybersecurity Risks In Internet Of Things (IoT) Devices. Journal of Systemics, Cybernetics and Informatics.
  • Xiao, H., Zhang, J., Huang, W., Zhou, M., Hu, W. (2019). An Efficient Quantum Key Distribution Protocol with Dense Coding on Single Photons. (2 ed., vol. 61, pp.759-775). Computers, Materials & Continua.
  • Debreceny, R., Wang, D., Zhou, M. (2019). Research in Social Media: Data Sources and Methodologies. (1 ed., vol. 33, pp.1-28). Journal of Information Systems. DOI: https://doi.org/10.2308/isys-51984
  • Xiao, H., Huang, W., Zhou, M. (2019). An Efficient Quantum Private Query Protocol Based on Oracle and Grover Iteration. (vol. 58, pp.3025-3035). International Journal of Theoretical Physics.
  • Qiao, Z., Wang, G. A., Zhou, M., Fan, W. (2018). The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps. In Analytics and Data Science (pp.95--110). Springer.
  • Inger, K. K., Meckfessel, M. D., Zhou, M., Fan, W. (2018). An Examination of the Impact of Tax Avoidance on the Readability of Tax Footnotes. (1 ed., vol. 40, pp.1-29). The Journal of the American Taxation Association. DOI: https://doi.org/10.2308/atax-51812
  • Wang, J., Zhou, M., Lei, L., Fan, W. (2016). Corporate Social Responsibility Reporting, Pyramidal Structure And Political Interference: Evidence From China. (2 ed., vol. 32, pp.703-717). Journal of Applied Business Research.
  • Lu, B., Fan, W., Zhou, M. (2016). Social presence, trust, and social commerce purchase intention: An empirical research. (vol. 56, pp.225-237). Computers in Human Behavior. DOI: https://doi.org/10.1016/j.chb.2015.11.057
  • Zhou, M., Lu, B., Fan, W. P., Wang, G. A. (2016). Project description and crowdfunding success: an exploratory study. (vol. 20, pp.259-274). Information Systems Frontiers. DOI: https://doi.org/10.1007/s10796-016-9723-1
  • Zhou, Mi (Jamie),, Lei, L., Wang, J., Fan, W., Wang, A. G. (2015). Social Media Adoption and Corporate Disclosure. (2 ed., vol. 29, pp.23-50). Journal of Information Systems. DOI: 10.2308/isys-50961